Amazon’s AI Recruiter Didn’t Fail Technically. That’s Why It Was Dangerous.

Amazon spent three years building an AI recruiting system that passed technical benchmarks and still had to be killed.

The model worked.
The math was correct.
The outcome was catastrophic.

This episode breaks down CPMAI Phase Five: Model Evaluation, using Amazon’s abandoned AI recruiter as a case study in why accuracy alone is meaningless.

Phase Five is where AI projects either become responsible, legally deployable systems or expensive liabilities. It is where models are evaluated against business outcomes, ethical standards, and regulatory requirements, not just technical metrics.

This is the Valley of Death for AI projects.
It is also where real AI governance begins.

If you work with AI in hiring, finance, healthcare, or any regulated domain, this phase determines whether your system should ship or be stopped.

Accuracy without accountability is failure.